Top Data & Analytics Jobs

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Analyzes data from media and digital sources to identify trends, build dashboards, and deliver actionable insights for marketing, sales, and content teams. The role manages Tableau Server, ensures data integrity, supports market and competitive analysis, responds to ad hoc requests, and explores responsible AI applications in analytics. It requires strong communication, visualization, analytical, collaboration, and technical skills, along with a valid or obtainable Oklahoma driver’s license.

Plans and performs data quality assessments, audits, and investigations to verify data integrity, completeness, compliance, and appropriate structure. Develops manual and automated testing methods, documents standards and procedures, prepares findings reports, and supports data governance, master data management, data modeling, warehousing, ETL, profiling, and cleansing activities.

Leads development and maintenance of actuarial data marts, datasets, extracts, reports, and analytical solutions supporting claims analysis, IBNR reserving, forecasting, trend analysis, and financial reporting. Partners with actuarial, finance, medical economics, and data teams to validate and reconcile healthcare data, automate refreshes, ensure auditability, and improve data quality. Provides technical leadership, requirements expertise, recommendations, training, and direction to junior staff and business partners.

Analyze and maintain recruitment, onboarding, workforce, participant, and program-performance data for the NIH DataForce Service Program. Develop trackers, dashboards, reports, and briefing materials; monitor participant lifecycle activities; identify data-quality issues, risks, trends, and process improvements; and support recurring monthly and quarterly analyses. Collaborate with program managers, mentors, coordinators, and government stakeholders while protecting sensitive information and ensuring Section 508 accessibility compliance.

Provides operational support for a university Business Intelligence team by validating, researching, entering, and correcting alumni and donor data. Processes database synchronization updates, creates entities in Ellucian Advance, fulfills Jira Service Management requests, prevents duplicate records, documents work, protects confidential information, and escalates complex discrepancies. The role requires accurate high-volume data processing, analytical judgment, research skills, and effective communication with technical and nontechnical users.

Supports enterprise data governance through business analysis, process improvement, requirements elicitation, governance facilitation, data quality improvement, access governance, and stakeholder collaboration. Translates policies and governance decisions into processes, workflows, controls, documentation, and measurable outcomes. Facilitates cross-functional decisions, supports data owners and stewards, and helps embed governance into data onboarding, integration, management, and consumption. May contribute to data sharing, master data, compliance, and governed data product initiatives.

Conduct competitive and strategic intelligence research across AI, technology, insurance, and financial services. Monitor emerging trends, funding, news, analyst reports, filings, and market activity; synthesize findings into updates, briefs, profiles, and deep-dive assessments. Build systematic AI-enabled research and reporting processes, identify partnership and product opportunities, and present actionable insights to technical, strategy, and senior leadership teams.

Support analytical projects across Gartner's BTI and Product teams: analyze large datasets, build dashboards and reports, apply ML/AI and LLM tools, assist data pipeline setup, collaborate with data engineering and IT, and communicate insights to stakeholders. High-performing interns may receive full-time offers.

Entry-level Associate Data Analyst supporting analytics, data science, data engineering, and project management rotations. Deliver insights, build dashboards, automate reporting, partner with stakeholders, and apply ML/LLM tools to drive product and client analytics.

Supports complex longitudinal, multi-site clinical and epidemiologic research studies as a REDCap subject matter expert. Designs and maintains REDCap, MyCap, and mobile data-collection systems; develops API integrations, automated data pipelines, quality-control workflows, analysis-ready datasets, dashboards, and reports using R and/or Python. Advises investigators and research teams on data architecture, security, documentation, reproducibility, and study workflows while training and mentoring analysts and research staff.

Leads enterprise reporting, data modeling, governance, reconciliation, and dashboard development across wealth management systems. Ensures data integrity and standardized KPI reporting while analyzing financial and operational trends. Partners with business, technology, operations, finance, and senior leadership to deliver actionable insights, improve reporting processes, support system transformations, and drive adoption of consistent reporting practices.

Leads enterprise data modeling, governance, reconciliation, and reporting across wealth management systems. Develops dashboards and KPI frameworks, ensures data integrity, analyzes financial and operational trends, and delivers executive insights. Partners with business, technology, operations, and finance teams to standardize reporting, support system transformations, improve automation, and drive data-informed decisions.

Analyzes complex data from diverse sources to evaluate programs, develop metrics, create datasets and dashboards, conduct statistical and qualitative research, and deliver recurring reports. Presents findings to stakeholders, supports operational decision-making, audits data quality, and collaborates across teams. The role also mentors junior analysts and manages reporting deliverables. Advanced experience with statistical analysis and visualization tools is required, with bioinformatics and multiomics experience preferred.

Lead analytical projects and experiments focused on customer and product behavior, lifecycle growth, segmentation, and engagement. Build data models, semantic layers, AI agents, dashboards, and reporting systems. Partner with Product, Marketing, Engineering, and Data teams to define metrics, evaluate initiatives, and influence strategy. Apply statistical modeling, predictive analytics, causal inference, and experimentation techniques, while communicating actionable insights to technical teams and senior leadership.

Analyze complex datasets, build Power BI dashboards and reports, write SQL, and use Python with Pandas and NumPy for data manipulation and automation. Work extensively with Snowflake, validate and reconcile data, define KPIs, support forecasting and AI-driven analytics, and translate stakeholder requirements into analytical solutions. Present insights and recommendations while collaborating with business, data engineering, and data science teams to improve reporting, data quality, governance, and self-service BI.

Own product analytics for CookUnity’s marketplace, analyzing discovery, conversion, ordering, retention, customer behavior, and marketplace economics. Design and interpret experiments, define metrics and guardrails, build dashboards, validate instrumentation, and translate ambiguous product questions into actionable recommendations. Partner closely with Product, Design, Engineering, User Research, and business teams to guide decisions and improve customer experience, repeat ordering, and sustainable marketplace performance.

Analyze large structured and unstructured datasets supporting USCENTCOM’s data lake, machine learning, artificial intelligence, and intelligence initiatives. Develop data methodologies, pipelines, metrics, visualizations, and self-service reporting solutions. Translate technical findings into actionable recommendations for clients, stakeholders, and Joint Combatant Command organizations. Collaborate with intelligence and data teams while advising on data-driven decisions that improve military mission outcomes.

Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.

Collects, analyzes, validates, and reports data while maintaining data integrity and accuracy. Prepares standard, exception, custom, and client reports; supports internal and external users; assists with client setup and maintenance; and contributes to quality programs. Requires strong query and report writing, analytical, communication, organizational, troubleshooting, and problem-solving skills.

Collects, analyzes, reconciles, and organizes information supporting DEA asset forfeiture casework. Enters data into databases and spreadsheets, maintains physical files, tracks case deadlines, coordinates information requests, prepares reports and correspondence, performs case-related word processing, and provides accurate status updates.

Analyze, clean, validate, and visualize structured and unstructured data supporting military capability modernization. Develop data methodologies and pipelines, assess data quality, identify trends, establish metrics and KPIs, and present findings to clients and senior Joint Force stakeholders. Use Python, R, SQL, Palantir Foundry or Maven Smart Systems, Microsoft tools, Tableau, Qlik, and Power BI to produce insights, recommendations, documentation, and cross-functional solutions.

Analyzes website and digital marketing performance data, builds dashboards and reports, supports tracking implementation, and evaluates A/B and multivariate tests. The role identifies customer behavior trends, conversion opportunities, and digital performance insights, translating complex analyses into actionable recommendations for Marketing, Product, Engineering, agencies, and leadership.

Collects, analyzes, reconciles, and organizes information from multiple sources; enters data into databases and spreadsheets; maintains case files; tracks deadlines; coordinates information requests; prepares accurate reports, summaries, documents, and responses; performs case-related word processing and provides status updates while supporting DEA asset forfeiture activities.

Leads teams designing and enhancing Palantir Foundry and Vantage data solutions for federal financial management clients. Builds pipelines, transforms, datasets, and data lineage using Python, SQL, PySpark, and Spark. Supports financial reporting, data transparency, controls, reconciliation, and data-driven decisions. Serves as a client leadership contact, provides strategic guidance, leads multidisciplinary teams, mentors staff, and translates technical concepts for stakeholders.